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    <title>obscont1</title>
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    <center>Scilab Function</center>
    <div align="right">Last update : April 1993</div>
    <p>
      <b>obscont1</b> -  a controlled-observed system</p>
    <h3>
      <font color="blue">Calling Sequence</font>
    </h3>
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      <dd>
        <tt>[macr]=obscont1(sysn)  </tt>
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    <h3>
      <font color="blue">Parameters</font>
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      <li>
        <tt>
          <b>sysn</b>
        </tt>: A Scilab string which gives the name of the controlled system.</li>
      <li>
        <tt>
          <b>gaincom,gainobs</b>
        </tt>: column vectors giving the requested gains</li>
      <li>
        <tt>
          <b>macr</b>
        </tt>: a new Scilab function which simulates the controlled observed system.<pre>

[x1dot]=macr(t,x1,abruit,pas,n)
x1=[x;xchap],
   
          </pre>
      </li>
    </ul>
    <h3>
      <font color="blue">Description</font>
    </h3>
    <p>
    This macros return a new function which computes the controlled observed 
    version of a linearised system around the <tt>
        <b>(xe,ue)</b>
      </tt> point.</p>
    <p>
    before calling this function, a noise vector <tt>
        <b>br</b>
      </tt> should be created.
    the equilibrium point <tt>
        <b>(xe,ue)</b>
      </tt> should be given as a global Scilab.
     the linearised system $f,g,h$ and the two  gain matrices <tt>
        <b>l,k</b>
      </tt> are 
    returned as global Scilab data.</p>
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